Your team is teaching AI how your business works. Shouldn't you own that knowledge?
Alex Karp recently laid out nine points in one post on X about AI sovereignty, arguing that companies were giving away their most valuable asset: the “tribal knowledge” they should be owning themselves.
Every time someone on your team asks an AI tool how to handle a tricky order, or drafts an email explaining a process, they're teaching that AI how your business works.
The AI model keeps that. It's learning your workarounds, your exceptions, your judgement calls, one prompt at a time. That knowledge doesn't come back to your business as something you own. It stays with the AI model.
Nobody's doing anything wrong here. People are just trying to get their work done.
But it means the most valuable knowledge in your business is quietly building someone else's asset instead of yours.
In other words, the knowledge that makes your business run well is worth owning. Give it away, and you're giving away your edge.
What Karp means by “tribal knowledge”
Karp isn't a household name in the way Sam Altman or Elon Musk are. But in the AI economy, he matters. People love him or hate him.
What he means by “tribal knowledge” is what we often refer to as “tacit” knowledge.
Every business runs on things nobody's ever written down. Why one type of order always needs a manual check. Why there's an exception built into the returns process. Why one person on the team is the only one who can approve certain invoices.
That's tribal knowledge. It lives in people's heads, built up through years of doing the job, not in any manual or system.
It’s often the thing that makes your business succeed or fail.
It’s the same knowledge people are handing to AI tools every day.
If a business feeds all its information into someone else's AI system (like ChatGPT or another big model it doesn't own or control), it's handing over the raw material, the internal know-how, the way it makes decisions, to a company that isn't obligated to protect it or keep it exclusive.
Over time, that outside company learns the business's playbook and can use it however it wants, including building a product that competes with or replaces you.
What’s more, businesses are paying for the privilege.
Karp's point is that this isn't a minor technical detail, it's existential. The businesses that own their data and models stay in control of their own future. The ones that don't are, in effect, just tenants in someone else's system.
But instead of giving this knowledge away, it could just as easily be captured for your business instead, if someone sits down and does it properly.
Sugarwork was built to capture your tribal knowledge before it gets lost
We talk to the people who actually run your business day to day and turn what's in their heads into something you keep: clear process maps, defined roles, and the reasoning behind the exceptions, all linked back to the person who explained it.
It's different from documentation, which usually describes how a process is meant to work rather than how it really works. It's different from a process mapping tool, which needs good information to start with rather than producing it. And it's different from a note taker, which just stores what was said instead of turning it into something useful.
When Appen used this approach during a restructure, onboarding time dropped by 70%. That happened because the knowledge that used to live in one person's head was already captured and ready to hand over to the next person.
Karp's right that owning your tribal knowledge matters. The question is simply who gets to keep it, an AI model that's learning it for free, or your own business. Sugarwork can help make sure it's you.
